Deep Neural Network (DNN)–based stereo models have become essential for depth estimation because they overcome many of the fundamental limitations of classical and geometry-based stereo algorithms.
Raspberry Pi has released an AI Kit which is designed to work with the Raspberry Pi 5. Previous models of these tiny computers would have struggled to keep up with the processing power necessary for ...
SINGAPORE – Robot-assisted total knee arthroplasty, or knee replacement surgery, has grown in popularity worldwide due to its greater precision and improved outcomes, but it also risks complications ...
Abstract: Underwater localization is used as a key element in most applications of underwater communications. Despite the global positioning system (GPS) receivers are usually employed in terrestrial ...
We show an inference time comparison between the 3 available pose estimation libraries (same hardware and conditions): OpenPose, Alpha-Pose (fast Pytorch version), and Mask R-CNN. The OpenPose runtime ...
Quantum phase estimation (QPE) is a foundational algorithm for quantum chemistry, cryptanalysis, and solving linear equations, due to the potential of exponential acceleration for classical algorithms ...
1 College of Science, North China University of Science and Technology, Tangshan, China. 2 Hebei Provincial Key Laboratory of Data Science and Applications, North China University of Science and ...
As quantum hardware continues to improve, more and more application scientists have entered the field of quantum computing. However, even with the rapid improvements in the last few years, quantum ...
A newly published artificial intelligence (AI) algorithm is allowing researchers to quickly and accurately estimate coastal fish stocks without ever entering the water. For the first time, anewly ...
Abstract: The objective of this letter is to extend the commonly used gradient ratio (GR) method for Arctic sea ice snow depth (SD) estimation by combining brightness temperatures (TBs) from the Soil ...
Estimation of cotton yield before harvest offers many benefits to breeding programs, researchers and producers. Remote sensing enables efficient and consistent estimation of cotton yields, as opposed ...
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